Manu N. Setty

Molecular Biology · 2013–2020

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Manu N. Setty trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jerome H. Friedman
  2. Eleazar Eskin
  3. Christina S. Leslie
  4. Aaron Arvey
  5. Trevor J. Hastie
  6. Theodoros Evgeniou
  7. Phaedra Agius
  8. Jason Ernst
  9. ENCODEConsortium
  10. Robert Tibshirani

Who trusts Manu N. Setty overall

  1. Jack Lanchantin
  2. F. Alexander Wolf
  3. Marius Lange
  4. Il-Youp Kwak
  5. Travers Ching
  6. Ritambhara Singh
  7. Xiaojie Qiu
  8. Kelly Street
  9. David R. Kelley
  10. Yifeng Li

Papers from Manu N. Setty's perspective

Ordered by how strongly the researchers Manu N. Setty trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers